Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Details
| Original language | English |
|---|---|
| Pages (from-to) | 327-343 |
| Number of pages | 17 |
| Journal | Business and Information Systems Engineering |
| Issue number | 3 |
| Publication status | Published - 2019 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 85071728401 |
|---|---|
| researchoutputwizard | legacy.publication#83042 |
| ORCID | /0000-0003-0753-0517/work/142255235 |
Keywords
Keywords
- Condition-based maintenance, Predictive maintenance, Machine learning, Unsupervised learning, Prognostics, Big data analytics, Data science study, Missing labels